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Get Started with mboost

Model-Based Boosting for R

Getting Started

The mboost team maintains comprehensive docs that cover installation, configuration, and common patterns.

Visit the mboost website to create your account and explore pricing options.

Our full tool profile covers mboost's strengths, weaknesses, pricing, and how it compares to alternatives.

Researchers and analysts working on predictive analytics in R

Projects requiring scalable boosting algorithms for regression or classification tasks

Teams that need flexibility in choosing base-learners and loss functions